Duties: This PhD will focus on applying model-based RL technics to increase the autonomy of space robots for near-field operations
Requirements: The candidate should possess an MSc degree or equivalent in Computer Science, Data Science, or Robotics engineering

Duties: Un/una docente in didattica delle scienze naturali presso il DFA/ASP opera di regola sia nella formazione di docenti generalisti (scuola dell’infanzia e scuola elementare) che in quella dei docenti specialisti (docenti di scienze naturali presso la scuola media e docenti di biologia, chimica o fisica delle scuole di maturità), nonché nella formazione continua dei docenti di ogni ordine e grado. Attraverso la realizzazione di corsi teorici e applicativi e attraverso le visite nelle pratiche professionali, prepara i docenti generalisti di scuola infanzia e di scuola elementare allo studio dell’ambiente in una prospettiva sistemica e interdisciplinare, rispettivamente a progettare e realizzare attività d’insegnamento e apprendimento in scienze naturali nella scuola media o delle discipline scientifiche nelle scuole di maturità (per i docenti specialisti). Inoltre, in collaborazione con i colleghi e le colleghe del Laboratorio MEM e di altri centri di ricerca del DFA/ASP e della ...
Requirements: Master nell’ambito delle scienze naturali. Il titolo PhD in ambito delle scienze naturali o della didattica delle scienze naturali o ambiti affini con laboratorio MEM costituiscono titolo preferenziale; Abilitazione all’insegnamento riconosciuta dalla CDPE per la scuola dell’obbligo o le scuole di maturità o un’abilitazione per le scuole professionali rilasciata dalla SUFFP; Esperienza pluriennale di insegnamento; Spiccato interesse per i temi della formazione e dell’educazione; Esperienze professionali in qualità di formatrice/tore di docenti, di docente di pratica professionale e/o di esperta/o costituiscono titolo preferenziale; Ottima conoscenza del sistema scolastico e accademico ticinese e svizzero

Duties: ENSI is responsible for the supervision of Swiss nuclear facilities, i.e. the nuclear power stations, the interim storage facility for radioactive waste, the nuclear research facilities at the Paul Scherrer Institute (PSI) in Villigen and the Ecole Polytechnique Fédérale in Lausanne. Its regulatory remit covers the entire life of a facility, i.e. from initial planning, through operation to final decommissioning including the disposal of radioactive waste
Requirements: We crawl all higher jobs in research, teaching and administration at ENSI automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: The Department of Mathematics at the University of Rochester invites applications for several non-tenure track Visiting Assistant Professor positions for new or recent PhDs. The positions are for two years, renewable for a third upon satisfactory performance, and carry a 2-2 annual teaching load. Areas represented by the department, including (1) algebraic topology, (2) analysis, (3) combinatorics, (4) differential geometry and global analysis, (5) number theory, and (6) probability, will be preferred
Requirements: Qualifications include a PhD in mathematics, strong evidence of excellence in the teaching of undergraduates, and outstanding promise in research

Duties: Develop Solutions for AI systems and embedded aerospace/avionics systems and subsystems; Work on 2nd and 3rd Gen AI systems (Cognitive & Neuromorphic AI); Develop Solutions for neuromorphic systems and or Drones (UAS/UAV) AI/ML sensor fusion; Develop AI/ML Solutions for Aircraft systems and sensor fusion; Perform Data Science, analysis duties, design/make devices; May also support non-AI programs; Drive the team to meet budgets and schedules; May support Business Development activities
Requirements: Requires a Masters in Computer Engineering, Electrical, AI, or equivalent with directly related experience; A PhD in a related field is preferred; 8+ years related industry experience; Experience writing C/C++ code; It is preferred that at least 5 of these years are in creating/maintaining/teaching and deploying Commercial, Medical, or DoD AI; Shown industry development and deployment of AI experience. Experience may be in other industry fields (DoD, Medical, Commercial, etc); Experience with second/third generation AI, ML, Deep Learning, and signal processing/sensor fusion is preferred; Experience leading others to meet schedules

Duties: Communicate effectively with internal team, external clients, and industry partners; Design, build, debug and implement robotic and automation solutions utilizing mechanical, electrical, and software skills; Coordinate individual performance goals and objectives set by the organization; Assist in preparing proposals and cost estimates; Interact with customers to promote new business and develop technical requirements
Requirements: Requires a PhD in Robotics Engineering, Mechanical Engineering, Electrical Engineering, or similar engineering degree; Must, at a minimum, have robotics experience in the form of projects, previous employment, or coursework; Demonstrated project work using C++ or python is beneficial; A valid/clear driver's license is required

Duties: As a Postdoctoral Researcher, you will develop and implement federated analytical workflows tailored for health research. You will apply AI/ML algorithms to analyse a diverse range of data types, including clinical, molecular (-omics), and (sensor/mobile and PROMs/PREMs) within a federated environment. Additionally, you will innovate state-of-the-art federated AI/ML methods, to ensure privacy and data security in clinical research. To augment federated analysis, you will be generating synthetic data using ML techniques, such as Generative Adversarial Networks (GANs). Your workflows and methods will be incorporated by a multidisciplinary team into the CLINNOVA platform for federated data management and analysis. You will take an active role on project activities and effectively disseminating findings to the project members and the scientific community through project meeting, conferences and publications
Requirements: A PhD in computer science, information technology, computational biology, bioinformatics, or a related field, with keen interest in health research and related IT infrastructure; Domain knowledge: Good understanding of statistical analysis principles and AI/ML techniques in both centralized and federated environments; Hands-on experience in developing, deploying, and maintaining ML operations (MLOps) within IT infrastructure, including familiarity with virtualization and containerization technologies such as Docker and Kubernetes is considered advantageous

Duties: Responsible for running and developing the data platform of the university for administrative reporting; Manage a team of 4 internal and external data specialists responsible for maintaining and developing the Azure cloud-based data platform; Develop a unified, documented and secure data lake involving all University stakeholders; Responsible for data architecture compliance and development guidelines; Manage the rollout of PowerBI to the user community, ensuring knowledge transfer and security; Manage the development of the data platform as a product: develop a comprehensive project roadmap outlining key milestones, deliverables and timelines for data and reporting initiatives, ensuring alignment with overall business and university objectives; Responsible for defining and delivering projects using agile methodology and University project governance
Requirements: Master's degree in a relevant field (e.g. IT, Data Science, Business Intelligence); Strong knowledge of data architecture, data integration and analytical tools; Strong knowledge of Microsoft Azure services and Power BI; Project management and organisational skills with a focus on delivering migration projects on time and within budget; Ability to think strategically and deliver results in a fast-paced environment; Experience in managing relationships with external vendors, including negotiating contracts and ensuring that deliverables are aligned with organisational objectives; Familiarity with best practices for cloud-based data storage, processing and analysis

Duties: Participate in research activities involved in the analysis of multiomics data sets including next-generation sequencing, single cell/nuclear transcriptomics, bulk RNA sequencing, spatial transcriptomics, metabolomics and proteomics datasets; Coordinate data handling and analysis for multi-omics data; Participate as a team member in experimental design and data analysis; Coordinate publications related to the project and scientific results; Work in close collaboration with LCSB members on scientific projects
Requirements: Master’s degree or equivalent in bioinformatics, computational biology, medical engineering, computer science, with an interest in biomedical informatics and translational medicine; Demonstrated expertise in R programming with a strong command of bioinformatics workflows, including data manipulation, statistical analysis, and visualization using relevant packages from Bioconductor including (but not limited) to DESeq2, limma, BioMart, Seurat, gViz, and edgeR; Proficiency in developing interactive web applications and data visualizations with R Shiny, Plotly, ggplot2, and Seaborn or similar dataviz libraries; Proficiency in Python

Duration: 6+ y
Duties: Design numerical experiments to test different hypotheses; Supervise doctoral and postdoctoral scholars, as well as research students if the opportunity arises
Requirements: Ph.D. in Physics, Meteorology, Atmospheric or Climate Sciences or a related discipline by the start date. Preferably with first postdoctoral experience in atmospheric/climate science; Demonstrated capability to publish top-quality research papers; Excellent analytical and programming skills; Intellectual independence; Willingness and expected ability to guide young scholars; Fluency in written and spoken English

Workload: 100%
Duties: Sie agieren als Verbindungsglied zwischen schweizerischen und europäischen Akteuren und Programmen in allen Bildungsbereichen (z.B. in der Schul-, Berufs- und Hochschulbildung sowie in der Erwachsenenbildung und der Jugendarbeit); Sie erstellen qualitativ hochstehende und zielgerichtete Informationen zu Bildungspolitiken und -programmen auf EU-Ebene; Sie unterstützen die Beteiligung der Schweiz an europäischen Bildungsprogrammen und arbeiten eng mit Schweizer Bildungsakteuren zusammen mit dem Schwerpunkt Erasmus+; Sie fördern und vernetzen Schweizer Bildungsakteure aller Bildungsstufen auf europäischer Ebene; Sie vertreten Schweizer Bildungsakteure in offiziellen Gremien sowie an Sitzungen und Anlässen
Requirements: Hochschulabschluss (MA oder gleichwertiger Abschluss); Mehrjährige Berufserfahrung im öffentlichen oder privatwirtschaftlichen Bereich; Vertrautheit mit dem schweizerischen Bildungssystem sowie gute Kenntnisse der europäischen Bildungspolitik und entsprechender Programme, Interesse an Themen mit Forschungs- und Innovationsbezug; Fähigkeit die Beziehung Schweiz-EU im umfassenden politischen Kontext zu betrachten; Redaktionelle Kompetenzen sowie sehr gute Sprachkenntnisse in Deutsch, Französisch und Englisch; Analytische Fähigkeiten, Freude an Recherchearbeit, Organisationstalent sowie gute IT-Kenntnisse (inkl. soziale Medien)

Department: SIT - Secure Information Technology
Duties: Applied research projects in the area of IT security and cryptography; Collaboration in publicly funded projects and/or projects directly commissioned by industry partners; Concept development and project management tasks; Preparation of project reports and scientific publications; Presentation of research results in the context of publications and lectures at national and international conferences
Requirements: Master of Science degree in computer science, mathematics, electrical engineering, or another field related to cybersecurity; You have in-depth knowledge of IT security and cryptography, and ideally post-quantum cryptography; You have knowledge of programming microcontrollers or embedded systems in C and/or assembly language, or FPGA programming in VHDL or Verilog; Experience with implementation attacks (esp. side channel attacks) as well as Python, Sage, Latex, git, and Linux are also desirable; You have a good command of the German and English languages, both written and spoken

Duties: Research of optical quantum computers toward realizing fault-tolerant universal quantum computers
Requirements: Applicants must have a doctor degree (or must be expected to receive a doctor degree until the employment). No experience required in quantum optics or quantum information

Duties: Carry out preparation, clean-up, and quality control of biological data, including scRNA-Seq, scATAC-Seq, Spatial transcriptomics and/or other multi-dimensional omic data modalities; Develop and maintain pipelines for bioinformatics and statistical analyses of aforementioned data types; activities to include handling raw data, evaluating outputs, optimizing parameters and summarizing findings; Collaborate with interdisciplinary teams to design experiments and analyze data from various single cell platforms; Maintain knowledge of latest bioinformatic approaches and variety sequencing technologies, especially in single-cell context; Present results at multidisciplinary project meetings; Produce output for scientific publications and co-author said publications
Requirements: Deep knowledge of bioinformatics tools and their implementation as part of pipelines, particularly for scRNA-Seq, scATAC-Seq, Spatial transcriptomics and/or other multi-dimensional omic data modalities; Demonstrated experience and understanding of genomic technologies and analysis of data generated; Analyzing and interpreting outputs to identify insights and hypotheses from data; Understanding of essential statistical methodologies required for bioinformatics analyses

Duties: The position will involve a mixture of methodological and collaborative research in biostatistics, bioinformatics, and genetics. The methodological research may include but is not limited to developing novel methods for time-to-event modeling, multivariate statistics, high-dimensional and spatial data modeling. The collaborative research may include but is not limited to software tool dissemination into clinical practice and participation in the multi-institutional efforts in studying cancer. This position will require writing statistical/biostatistical manuscripts, assisting in writing biomedical manuscripts, developing/maintaining statistical software packages, and other academic activities
Requirements: The ideal candidate should have a Ph.D. in statistics, biostatistics, or a related field. The candidate must have excellent written and verbal communication skills, the ability to engage in independent thinking, be meticulous in their attitude towards work, and be collegial as a team member. The candidate must demonstrate scholarship through at least two published first-author manuscripts

Duties: Under the direction of the Department of Ophthalmology Chair and Director of Stein Eye Institute, this position is for a full-time database manager and programmer with advanced skills in statistical analysis. Responsible for new program development, maintaining PC-based clinical databases, collecting, analyzing and interpreting new data, installing and maintaining computer software, designing graphics, supporting and teaching users, and participating in clinical research. In-depth knowledge and understanding of statistical analysis and design techniques to support research projects. This position will also train post-doctorates, graduate researchers and research fellows in system analysis and design techniques, machine approach (automating procedures), programming (STATA, R), time estimation and scheduling
Requirements: Advanced knowledge and skills in research function, statistical analysis and consultation Working knowledge of open-source web application Jupyter Notebooks Detailed knowledge of statistical programming languages (R, STATA) Any of the following is a plus: familiarity with the basic terminology of Ophthalmology and the devices used to collect clinical data about glaucoma, previous publications, knowledge of EndNotes, FileMaker Pro, or Adobe Acrobat, knowledge of artificial intelligence, neural networks, or fuzzy logic

Duties: The research intern will be training and collaborating with Dr. Su's Lab within the Department of Bioinformatics and Computational Biology. The research intern will be exposed to a variety of projects that are conducted in Dr. Su's Lab, ranging from projects on performing alignment for NGS data such as RNA-Seq, DNA-Seq, ChIP-Seq, and ATAC-Seq data; implementation of R scripts to perform clustering analysis for scRNA-Seq data; or writing scientific manuscripts for publications
Requirements: Bachelor degree in Computer or related field

Duties: Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan; Experience in single cell data analyses and integrative multi-omics approaches is a strong plus; A background in immunology and experience working with clinical trial data will be a plus and will help in the development of independent research projects
Requirements: Ph.D. in Computational Biology, Biostatistics, Statistics, Bioinformatics or related field; Experience with multiple programming languages such as Python and R

Duties: With this translational context in mind, Dr. Baxevanis’ group is currently leading international efforts to sequence two cnidarian species: Hydractinia and Podocoryna. The regenerative abilities of these colonial hydrozoans make them excellent models for the study of key questions related to pluripotency, allorecognition, and stem cell biology, work that will be significantly advanced by the availability of high-quality whole-genome sequencing data from these organisms. The successful applicant will have the opportunity to develop and apply bioinformatic approaches to these and other large-scale genomic data sets, focusing on the evolution of specific protein families and biological pathways that have putative roles in disease causation
Requirements: Candidates should have or be close to obtaining a Ph.D. or equivalent degree in bioinformatics, computational biology, computer science, molecular biology, or a closely related field. Candidates with a background in evolutionary biology are particularly encouraged to apply. Programming skills and experience in the application of computational methods to genomic data are highly desirable. Applicants must possess good communication skills and be fluent in both spoken and written English. The ability to learn how to use new software and quickly become expert in its use, critical thinking, problem-solving abilities, and the ability to work semi-independently are required

Duties: We are building on this experience by forming a strong and diverse research group focused on developing and implementing cutting-edge methods and technologies for discovery and replication, molecular diagnosis, functional dissection of pathways, and targeted therapeutics for neurodevelopmental and related disorders. This work has the potential to dramatically improve the lives of individuals affected with these currently untreatable disorders through early intervention and biologically based personal therapies. Areas of interest include: genomics, single-cell genomics, modeling of neurodevelopmental disorders in stem cell (iPSC) and animal systems, massively parallel functional assays, and bioinformatics
Requirements: PhD, MD or MD/PhD in neuroscience, cell/molecular biology, genetics or related field; Strong interest in developmental neuroscience; Demonstrated ability to work independently and learn new techniques quickly; Candidates must be well organized, self-motivated and dependable; Excellent communication skills with the ability to plan, document, analyze and report data

Duties: Perform biostatistical analysis working with institute scientists, including generating quality control and data output reports, visualizations, and publication-quality graphics where appropriate; Critically evaluate experimental design and generate statistical analysis plans; Work independently and collaboratively with all levels of institute researchers, in a dynamic research environment to design and implement new immunological experiments; Participate in writing quarterly reports, progress reports, proposals, and journal articles; Keep informed of cutting-edge ideas, research, and technology, and apply them as appropriate
Requirements: Requires a degree in biostatistics, healthcare statistics, or other life science with a strong understanding of the principals of biostatistics, and 3 to 5 or years related experience or equivalent combination of education and experience post bachelor’s degree

Duties: Data Processing: Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization. Adapts tools when necessary; Data Analysis: Performs routine analysis for which established tools exist and are considered reliable; Keeps up with the computational biology literature to assure pipelines components are up to date. Adapts tools when necessary; Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. Evaluates published tools and updates pipeline as necessary. Writes scripts that perform this automatically
Requirements: Bachelor's degree required in a STEM field. Master’s degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science and/or the life sciences; 2 years with Bachelor’s degree or 1 year with Master’s degree; academic research experience or authorship in scientific publications experience may substitute for work experience

Duties: KIT; The Research University in the Helmholtz Association; combines university tradition with program-oriented research. In 2009, the Technical University of Karlsruhe and Karlsruhe Research Center merged to KIT. The framework conditions presently offered to KIT researchers are accordingly unique in the German science system. Nowhere else can researchers use the infrastructure of a large-scale research center and collaborate at a university of excellence across the disciplines of natural sciences, engineering, economics, the humanities and social sciences. Research at KIT is aimed at creating new findings, applications, and solutions to master the global challenges facing humankind with pathbreaking contributions; in particular in the areas of energy, mobility, and information. The only German university of excellence with a national large-scale research sector offers unique education and training options for students and early-stage researchers
Requirements: KIT posts regulary jobs at our sites. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Duties: Besprochen werden: Banking, Insurance und Finance; Statistik (non-finance), Biologie, Medizin (akademisch und nicht-akademisch); Informatik und Technik; General Management; Lehre (nicht akademisch); Akademische Stellen; Weitere wichtige Informationen zu Historische Entwicklung, Mittelschule und Studium, Praktika
Requirements: Praktika während des Studiums dienen nicht nur zur Aufbesserung von Einkommen und CV (inkl. sehr wichtige Referenzen), sondern ermöglichen auch herauszufinden, welche Jobs einem später am besten gefallen werden. Nach erfolgreich absolvierten Praktika sollte man auf jeden Fall von den Vorgesetzten ein Arbeitszeugnis einholen. Wenn diese mit der Arbeit sehr zufrieden sind, werden sie dabei von sich aus mitteilen, dass man sie als Referenz erwähnen darf. Wichtig ist, dass man Praktika macht, welche etwas mit Mathematik zu tun haben

Duties: In diesem kurzen Aufsatz soll Mathematiker/innen und Statistiker/innen (allgemein Quants, also Personen mit quantitativer Ausbildung) aufgezeigt werden, wie einfach sie eine eigene Firma gründen können. Es wird aufgezeigt, dass im Gegensatz zu anderen Studiengebieten Quants sehr gute Chancen haben, direkt ab Hochschule erfolgreich eine Firma zu gründen. Die Aussagen gelten erst Recht für Personen mit Berufserfahrung. Mit dem Portfolio-Ansatz wird auch der zweiten Gruppe oben ein stufenweiser Einstieg in die unternehmerische Selbständigkeit aufgezeigt. Mit wichtigen Hinweisen für alle Fachgebiete!
Requirements: Ich unterscheide drei verschiedene Situationen, in denen diese Quants sein können: Student/in, Absolvent/in, Personen, welche z.B. wegen Unterstützungspflichten (vorerst) lediglich in Teilzeit Erwerbsarbeit leisten können, Personen, bei denen der Beruf und die Karriere (momentan) zentraler Lebensinhalt ist